Quantitative Investment Strategy & Analytics Analyst

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Quantitative Investment Strategy & Analytics Analyst

New York

Who We Are

SiriusPoint is a global insurance and reinsurance company created from the merger of Third Point Re and Sirius International Insurance Group. We are a top global (re)insurer writing a worldwide portfolio of businesses including Accident & Health, Liability, Property and Specialty.

Bermuda-headquartered and listed on the New York Stock Exchange (NYSE: SPNT), we are looking at ways to grow intelligently, underwrite profitably, and drive technology innovation in the insurance industry.

We challenge convention, disrupt the traditional way of doing things, and devise new and better solutions. We strive to be excellent in everything we do, and we always strive to continuously build knowledge and learn beyond our current skillsets. 

Join Our Team  

The Quantitative Investment Strategy and Analytics Analyst will play a critical role in the SiriusPoint Investments team, focusing on the development, build-out, and implementation of sophisticated quantitative decision support systems and tools. 

This individual will be instrumental in translating complex investment strategies and structuring concepts into practical, actionable models and processes. The role requires a hands-on approach to designing, coding, and deploying analytical solutions that enhance our investment decision-making, portfolio construction, risk management, and capital allocation frameworks. 

You'll work closely with portfolio managers, strategists, risk management, and technology teams to ensure robust and scalable quantitative solutions are integrated seamlessly into our investment workflow. 

Our investment team plays a crucial role in managing a robust and diversified portfolio, generating stable and consistent earnings to support our underwriting operations and deliver attractive risk-adjusted returns. 

We are committed to disciplined balance sheet management, optimizing capital allocation, and driving value through best-in-class investment management. Leveraging cutting-edge analytics and a focus on enterprise financial performance, we continuously seek to enhance our investment strategies and frameworks to navigate dynamic market conditions. 

We value innovation, analytical rigor, and collaborative problem-solving to contribute directly to the financial strength and strategic objectives of a leading global re/insurer.

Your responsibilities will include:

• Methodology & Framework Development: Design and develop the core quantitative methodologies, analytical frameworks, and conceptual models that underpin all investment tools and systems, ensuring their robustness, accuracy, and alignment with investment objectives and risk appetite.
• Decision Support System Development: Build and implement quantitative models and tools to support investment decision-making, including asset allocation, portfolio optimization, risk attribution, and performance analytics.
• Strategic Portfolio and Exposure Targeting: Develop and implement methodologies and systems for defining and tracking strategic portfolio targets, long-term exposure limits, and optimal risk budgets across various asset classes and risk factors, aligning with long-term capital objectives and liability profiles.
• Investment Strategy & Structuring Implementation: Translate high-level investment strategies, capital structuring initiatives, and liability-driven investment (LDI) frameworks into executable quantitative models and algorithms.
• Tactical Rebalancing Frameworks: Design, develop, and implement automated and semi-automated tactical rebalancing frameworks and triggers to ensure portfolios remain aligned with target allocations and risk parameters, optimizing for transaction costs, market liquidity, and tax efficiency.
• Model Development & Automation: Research, develop, and improve existing quantitative financial processes and create new models for portfolio construction, scenario generation, and rebalance strategies across various asset classes (e.g., fixed income, alternatives, equities, derivatives).
• Data Integration & Management: Work with large datasets, ensuring data quality, integrity, and efficient flow into quantitative models and decision support systems. Automate data pipelines and reporting where applicable.
• System Integration & Deployment: Collaborate with IT and other internal and external stakeholders to ensure developed models and systems are robustly integrated into existing platforms and can be deployed effectively for ongoing use.
• Performance Monitoring & Optimization: Monitor the performance of implemented strategies and models, identifying areas for improvement and optimizing solutions to enhance efficiency, accuracy, and impact.
• Optimizing Organizational Effectiveness: Identify opportunities to enhance the investment process through automation, improved data analytics, and streamlined workflows. Drive initiatives that improve the efficiency and scalability of quantitative investment functions within the team.
• Cross-Functional Collaboration: Partner with portfolio management, sector specialists, risk, and actuarial teams to understand their analytical needs and deliver tailored quantitative solutions that align with enterprise risk appetite and regulatory constraints.
• Documentation & Governance: Ensure all developed models and systems are thoroughly documented and adhere to internal model governance and validation standards.

United behind common goals  

At SiriusPoint we work as one team across our global business, and we unite that team behind common goals, understanding the positive impact we can all make at SiriusPoint. We aim to retain and attract great people, knowing they can achieve a rewarding and enriching career.   

Our Purpose is to provide security and resilience in an uncertain world.  

Our Vision is to be recognized as a best-in-class insurer and reinsurer utilizing deep risk capabilities to protect our customers. Blending our talent, expertise and data to provide intelligent risk solutions.  

Our culture is one of performance and accountability. Our people are our experts and you will be empowered to apply your expertise in a supportive, collaborative and purposeful environment.  

Our Values are at the heart of our business, and which guide every day actions and decision making.   

• Integrity: Integrity, respect and trust are our core principles
• Customer Focused: Our customers are the reason we exist
• Solution Driven: Creating solutions is our mindset
• Diversity: Diversity, inclusion and allyship make us stronger
• Collaboration: Collaboration drives our performance
   

Your skills and abilities should include:  

• Experience: 4+ years of experience in a quantitative investment role, with a strong focus on developing and implementing analytical tools, models, or decision support systems. Experience in cross-asset strategies, portfolio construction, or ALM (Asset-Liability Management) is highly desirable.
• Education: Advanced degree (Master's or Ph.D.) in Finance, Financial Engineering, Computer Science, Statistics, Mathematics, or a similar highly quantitative field from a top university.
• TechnicalProficiency:

1. Strong programming skills in Python (e.g., NumPy, Pandas, SciPy, scikit-learn), with experience in building production-grade analytical tools.
2. Proficiency in SQL for data querying and management.
3. Solid experience with Excel/VBA for rapid prototyping and analysis.

Familiarity with cloud platforms (AWS, Azure, GCP) and version control systems (Git) is a plus.

• Quantitative Knowledge: Deep understanding of quantitative portfolio construction, optimization techniques (e.g., mean-variance, robust optimization, factor models), risk modeling, and statistical analysis.
• Capital Markets Acumen: Solid knowledge of capital markets and a variety of asset classes, including fixed income (corporate bonds, securitized products, mortgage loans), equities, alternatives, and derivatives.
• Problem-Solving & Analytical Skills: Demonstrated ability to dissect complex problems, design innovative quantitative solutions, and translate them into practical implementations.
• Communication & Collaboration: Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences across various levels of seniority.
• Work Ethic: Ability to multi-task, manage competing priorities, and thrive in a fast-paced, collaborative, and results-oriented team environment.
• Preferred Qualifications:

1. Experience in an insurance CIO office or a reinsurance investment team.
2. CFA designation or equivalent.
3. Experience with specific financial modeling libraries or platforms (e.g., Aladdin, BlackRock Solutions, Clearwater).

We Achieve More Together

We value and support the unique voices, backgrounds, lifestyles, and contributions of a diverse global employee base that contributes to our culture every day. Diversity, Equity, Inclusion, and Belonging (DEI&B) is imperative to our success.

We are building an environment that embeds DEI&B into everything we do and enables us to unlock critical drivers of equality, innovation, and success. We want everyone to be included, valued, respected, and supported to unleash their full potential.